Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "17" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 56 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 53 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459871 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.408234 | 0.657188 | -0.723598 | 0.866283 | 0.680185 | 0.372472 | 5.600416 | 2.014888 | 0.7042 | 0.6863 | 0.3783 | nan | nan |
| 2459870 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.428335 | 1.201805 | -0.681921 | 0.446011 | -0.535365 | -0.188147 | 0.709732 | 0.382378 | 0.7059 | 0.6873 | 0.3864 | nan | nan |
| 2459869 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.022952 | 0.634813 | -0.685707 | 0.588077 | -0.452469 | -0.077815 | 0.271806 | -0.860089 | 0.7158 | 0.7065 | 0.3729 | nan | nan |
| 2459868 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.334175 | 1.271760 | -0.239639 | 0.525727 | 0.954738 | -0.288303 | 6.589433 | 3.615738 | 0.6975 | 0.6844 | 0.3918 | nan | nan |
| 2459867 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.633993 | 0.703548 | -0.994989 | 0.144176 | -0.181496 | -0.170418 | 0.422223 | 0.817271 | 0.7084 | 0.6869 | 0.3904 | nan | nan |
| 2459866 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.679787 | 0.779072 | -0.323442 | 0.001921 | -0.354659 | -0.804859 | 3.173801 | -0.075980 | 0.7086 | 0.6905 | 0.3847 | nan | nan |
| 2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.040147 | 1.501720 | 10.589864 | 7.700370 | 0.666343 | -0.124387 | 2.926420 | 1.623311 | 0.7256 | 0.7100 | 0.3508 | nan | nan |
| 2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.418574 | 1.490344 | 0.567956 | -0.095718 | 0.326839 | -0.212585 | 5.889705 | 4.068128 | 0.7006 | 0.6791 | 0.4027 | nan | nan |
| 2459863 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.676200 | 0.356467 | 0.430655 | 0.418725 | -0.364518 | -0.244249 | 3.829985 | 1.666465 | 0.6942 | 0.6695 | 0.3945 | nan | nan |
| 2459862 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.045976 | 0.683145 | -0.112474 | -0.363387 | -0.715503 | 0.216548 | 0.973063 | 0.369737 | 0.6805 | 0.6975 | 0.4070 | nan | nan |
| 2459861 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.110560 | 0.286580 | 0.374523 | 0.548162 | -0.475354 | 0.329528 | 2.416644 | 1.479502 | 0.7081 | 0.6852 | 0.4012 | nan | nan |
| 2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.746472 | 0.334207 | -0.000916 | -0.563109 | 0.564716 | -0.409070 | 1.877137 | 0.435012 | 0.7134 | 0.6803 | 0.4001 | nan | nan |
| 2459859 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.006551 | 0.506792 | 0.421208 | 0.527553 | -0.145324 | 0.146004 | 7.607745 | 3.305085 | 0.7183 | 0.6848 | 0.4017 | nan | nan |
| 2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.358319 | 0.241680 | 0.460526 | 0.453281 | -0.251162 | 0.687141 | 2.789780 | 0.862824 | 0.7288 | 0.6921 | 0.4121 | 1.784031 | 1.551025 |
| 2459857 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.839075 | -0.186801 | 0.269107 | 0.193623 | -0.922877 | -0.573796 | 0.003038 | 0.316807 | 0.0251 | 0.0248 | 0.0005 | nan | nan |
| 2459856 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.43% | 0.57% | -0.659663 | 0.922317 | -0.021580 | -0.671678 | -0.646943 | -0.633759 | 0.843325 | -0.037463 | 0.7211 | 0.7039 | 0.3997 | 1.842938 | 1.567939 |
| 2459855 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.58% | 0.00% | -0.632494 | 1.189841 | 0.019470 | -0.789877 | -0.585809 | 0.001354 | 1.671127 | 0.262751 | 0.7013 | 0.7129 | 0.4345 | 1.554549 | 1.403151 |
| 2459854 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.93% | 0.00% | -0.876015 | 0.951690 | -0.780012 | -0.789975 | -0.630969 | -0.062532 | 1.635849 | 0.521182 | 0.7220 | 0.7459 | 0.4358 | 1.585966 | 1.420802 |
| 2459853 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.12% | -0.580652 | 0.670969 | -0.762691 | -0.821184 | -0.713856 | -0.305946 | 2.754773 | 0.613249 | 0.7450 | 0.6973 | 0.4196 | 1.807295 | 1.627422 |
| 2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 2.16% | 0.311579 | 1.281594 | -0.860362 | -0.832669 | -0.278660 | -0.644004 | -0.095928 | -0.182103 | 0.8338 | 0.8354 | 0.2415 | 3.030111 | 2.926381 |
| 2459851 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.048527 | 0.383871 | -0.804568 | -0.795069 | 0.207243 | -0.125911 | 4.189108 | 2.229331 | 0.7666 | 0.7487 | 0.3296 | 3.740882 | 3.222793 |
| 2459850 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 18.02% | 0.00% | -0.801503 | 0.565983 | -0.686831 | -0.798383 | -0.605295 | -0.446962 | 2.136847 | 0.740784 | 0.7478 | 0.7551 | 0.3510 | 1.668997 | 1.530926 |
| 2459849 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.67% | 0.00% | -0.306393 | 0.561964 | -0.841239 | -0.017404 | -0.894470 | -0.949266 | 1.669089 | -0.231007 | 0.7471 | 0.7488 | 0.3580 | 1.621482 | 1.464488 |
| 2459848 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 30.15% | 0.00% | -0.350849 | 0.557700 | 0.477883 | 0.322547 | -0.282686 | -0.343938 | 2.060111 | 0.645556 | 0.7242 | 0.7484 | 0.3741 | 1.623968 | 1.494649 |
| 2459847 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | 0.00% | -0.545680 | 0.353440 | 0.799748 | 0.674786 | -0.179104 | -0.366703 | 1.967297 | 0.669361 | 0.7246 | 0.6858 | 0.4272 | 1.749007 | 1.583311 |
| 2459846 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 33.33% | 0.00% | -0.655302 | 0.237931 | 1.327208 | 0.442799 | -0.539828 | -0.220644 | 1.162481 | 0.464404 | 0.8430 | 0.6878 | 0.4859 | 1.768852 | 1.559601 |
| 2459845 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.02% | 0.00% | -0.077198 | 0.521443 | 1.474072 | 0.160144 | -0.228102 | -0.755577 | 2.982156 | -0.438618 | 0.7451 | 0.7596 | 0.3621 | 1.246703 | 1.185312 |
| 2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.185405 | -0.439996 | -0.089542 | 1.279923 | 1.661586 | -0.015244 | -0.552838 | 0.000174 | 0.0245 | 0.0242 | 0.0003 | nan | nan |
| 2459843 | digital_ok | 0.00% | 0.66% | 0.66% | 0.00% | 15.22% | 1.63% | -0.397063 | 0.971484 | -0.045846 | -0.127249 | 0.352633 | -0.466855 | 0.415639 | -0.556164 | 0.7504 | 0.7524 | 0.3739 | 1.961045 | 1.681482 |
| 2459842 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.865261 | 0.064032 | 0.664469 | 0.969132 | 0.407867 | 0.998435 | 0.582296 | 0.025668 | 0.7463 | 0.6510 | 0.2738 | 2.089690 | 2.012868 |
| 2459841 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.641643 | -0.838601 | 0.122763 | 0.910825 | -0.007276 | -1.793609 | -0.308452 | 0.032812 | 0.0248 | 0.0242 | 0.0006 | nan | nan |
| 2459840 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.546091 | -1.365760 | -0.265439 | 0.221547 | -0.725246 | 0.061279 | -0.375797 | 0.328969 | 0.0234 | 0.0231 | 0.0007 | nan | nan |
| 2459839 | digital_ok | 0.00% | - | - | - | - | - | 1.391613 | 1.557811 | -0.630301 | 0.412386 | -0.592157 | -1.091882 | -0.659792 | -0.201410 | nan | nan | nan | nan | nan |
| 2459838 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.569858 | 0.389472 | 0.467461 | 0.515719 | -0.055815 | -0.705621 | 2.464775 | 0.093470 | 0.7291 | 0.6749 | 0.4224 | 2.239830 | 1.979207 |
| 2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0340 | 0.0333 | 0.0004 | nan | nan |
| 2459835 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.180924 | -0.244418 | 0.542621 | 0.730811 | -0.779625 | -0.306425 | -0.156372 | 0.261698 | 0.0297 | 0.0295 | 0.0006 | nan | nan |
| 2459832 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.179704 | 0.351964 | 0.240859 | 0.204972 | -0.384923 | -0.807943 | 3.347086 | 0.640909 | 0.8095 | 0.5182 | 0.6085 | 1.719183 | 1.667235 |
| 2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.307372 | 1.631253 | -0.677659 | 0.624245 | -0.142507 | -0.683746 | -0.340084 | 0.089036 | 0.0313 | 0.0333 | 0.0015 | nan | nan |
| 2459830 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.769928 | -0.106164 | 0.302571 | 0.516430 | 0.320029 | -0.342086 | 3.188211 | 0.189408 | 0.8044 | 0.5004 | 0.6065 | 1.634961 | 1.369351 |
| 2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.043539 | 2.028695 | 0.713378 | 0.528685 | -0.097261 | -0.346147 | 6.416193 | 4.594362 | 0.7378 | 0.6320 | 0.4388 | 26.461982 | 18.745434 |
| 2459828 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.270494 | 0.723198 | 0.534845 | 0.741403 | 0.585891 | 0.522696 | 6.120552 | 6.902170 | 0.8036 | 0.5227 | 0.5759 | 4.978292 | 5.051602 |
| 2459827 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.484856 | 0.800123 | 0.806562 | 0.702544 | 0.816874 | -0.394358 | 11.619983 | 7.250409 | 0.7480 | 0.6408 | 0.4420 | 11.289432 | 11.231505 |
| 2459826 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.099342 | 0.332493 | 0.736541 | 0.676141 | 0.825354 | 0.465386 | 3.481399 | 0.991428 | 0.7978 | 0.5408 | 0.5487 | 1.678971 | 1.309775 |
| 2459825 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.537142 | 0.097516 | 0.897305 | 0.909969 | 8.858249 | 8.995574 | 3.435765 | 3.137630 | 0.7988 | 0.5450 | 0.5551 | 3.168830 | 2.232962 |
| 2459824 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.496070 | 0.695578 | 0.451616 | 0.609063 | 6.699531 | 7.588786 | 13.178538 | 17.476809 | 0.6862 | 0.6673 | 0.4163 | 5.722717 | 6.524751 |
| 2459823 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.011050 | 1.011335 | 0.837314 | 0.995851 | 1.000728 | 2.908148 | 3.466225 | 2.833596 | 0.7515 | 0.5988 | 0.5033 | 2.434786 | 3.312349 |
| 2459822 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.083759 | 0.552005 | 0.730915 | 0.789203 | 0.325951 | 0.023437 | 2.990175 | 2.551375 | 0.8009 | 0.5763 | 0.5465 | 1.958907 | 1.552764 |
| 2459821 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.152769 | 1.040737 | 0.902073 | 0.651829 | 1.559360 | 1.663572 | 0.598644 | 0.760157 | 0.7937 | 0.5946 | 0.5367 | 2.252178 | 1.950814 |
| 2459820 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.67% | 0.137868 | 1.206392 | 0.678740 | 0.782290 | 1.620450 | -0.095653 | 0.915129 | 0.773846 | 0.7649 | 0.6671 | 0.4293 | 2.218831 | 1.991772 |
| 2459817 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.494699 | 1.720157 | 0.722515 | 0.565219 | 0.754031 | 0.709956 | 4.187629 | 3.274000 | 0.8136 | 0.6616 | 0.5167 | 4.155277 | 4.268834 |
| 2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.408655 | 0.377059 | 0.698874 | 0.984189 | 2.187376 | 2.427293 | 0.629549 | 0.273959 | 0.8487 | 0.5968 | 0.5966 | 1.851956 | 1.587777 |
| 2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 7.89% | 0.098425 | 1.149227 | 0.563917 | 0.680574 | 0.935486 | 0.749757 | 2.463632 | 1.871267 | 0.8013 | 0.6628 | 0.5200 | 2.400132 | 2.296515 |
| 2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | 1.201805 | -0.428335 | 1.201805 | -0.681921 | 0.446011 | -0.535365 | -0.188147 | 0.709732 | 0.382378 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | 0.634813 | 0.022952 | 0.634813 | -0.685707 | 0.588077 | -0.452469 | -0.077815 | 0.271806 | -0.860089 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 6.589433 | -0.334175 | 1.271760 | -0.239639 | 0.525727 | 0.954738 | -0.288303 | 6.589433 | 3.615738 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Discontinuties | 0.817271 | -0.633993 | 0.703548 | -0.994989 | 0.144176 | -0.181496 | -0.170418 | 0.422223 | 0.817271 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 3.173801 | 0.779072 | -0.679787 | 0.001921 | -0.323442 | -0.804859 | -0.354659 | -0.075980 | 3.173801 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Power | 10.589864 | 0.040147 | 1.501720 | 10.589864 | 7.700370 | 0.666343 | -0.124387 | 2.926420 | 1.623311 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 5.889705 | 1.490344 | -1.418574 | -0.095718 | 0.567956 | -0.212585 | 0.326839 | 4.068128 | 5.889705 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 3.829985 | -1.676200 | 0.356467 | 0.430655 | 0.418725 | -0.364518 | -0.244249 | 3.829985 | 1.666465 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 0.973063 | -1.045976 | 0.683145 | -0.112474 | -0.363387 | -0.715503 | 0.216548 | 0.973063 | 0.369737 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.416644 | 0.286580 | -1.110560 | 0.548162 | 0.374523 | 0.329528 | -0.475354 | 1.479502 | 2.416644 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 1.877137 | -0.746472 | 0.334207 | -0.000916 | -0.563109 | 0.564716 | -0.409070 | 1.877137 | 0.435012 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 7.607745 | -1.006551 | 0.506792 | 0.421208 | 0.527553 | -0.145324 | 0.146004 | 7.607745 | 3.305085 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.789780 | 0.241680 | -1.358319 | 0.453281 | 0.460526 | 0.687141 | -0.251162 | 0.862824 | 2.789780 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Discontinuties | 0.316807 | -0.186801 | -0.839075 | 0.193623 | 0.269107 | -0.573796 | -0.922877 | 0.316807 | 0.003038 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | 0.922317 | -0.659663 | 0.922317 | -0.021580 | -0.671678 | -0.646943 | -0.633759 | 0.843325 | -0.037463 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 1.671127 | 1.189841 | -0.632494 | -0.789877 | 0.019470 | 0.001354 | -0.585809 | 0.262751 | 1.671127 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 1.635849 | 0.951690 | -0.876015 | -0.789975 | -0.780012 | -0.062532 | -0.630969 | 0.521182 | 1.635849 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.754773 | 0.670969 | -0.580652 | -0.821184 | -0.762691 | -0.305946 | -0.713856 | 0.613249 | 2.754773 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | 1.281594 | 0.311579 | 1.281594 | -0.860362 | -0.832669 | -0.278660 | -0.644004 | -0.095928 | -0.182103 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 4.189108 | 0.048527 | 0.383871 | -0.804568 | -0.795069 | 0.207243 | -0.125911 | 4.189108 | 2.229331 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.136847 | -0.801503 | 0.565983 | -0.686831 | -0.798383 | -0.605295 | -0.446962 | 2.136847 | 0.740784 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 1.669089 | -0.306393 | 0.561964 | -0.841239 | -0.017404 | -0.894470 | -0.949266 | 1.669089 | -0.231007 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.060111 | 0.557700 | -0.350849 | 0.322547 | 0.477883 | -0.343938 | -0.282686 | 0.645556 | 2.060111 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 1.967297 | 0.353440 | -0.545680 | 0.674786 | 0.799748 | -0.366703 | -0.179104 | 0.669361 | 1.967297 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Power | 1.327208 | -0.655302 | 0.237931 | 1.327208 | 0.442799 | -0.539828 | -0.220644 | 1.162481 | 0.464404 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.982156 | 0.521443 | -0.077198 | 0.160144 | 1.474072 | -0.755577 | -0.228102 | -0.438618 | 2.982156 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Variability | 1.661586 | 0.185405 | -0.439996 | -0.089542 | 1.279923 | 1.661586 | -0.015244 | -0.552838 | 0.000174 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | 0.971484 | 0.971484 | -0.397063 | -0.127249 | -0.045846 | -0.466855 | 0.352633 | -0.556164 | 0.415639 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Variability | 0.998435 | -0.865261 | 0.064032 | 0.664469 | 0.969132 | 0.407867 | 0.998435 | 0.582296 | 0.025668 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Power | 0.910825 | -0.641643 | -0.838601 | 0.122763 | 0.910825 | -0.007276 | -1.793609 | -0.308452 | 0.032812 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Discontinuties | 0.328969 | -1.546091 | -1.365760 | -0.265439 | 0.221547 | -0.725246 | 0.061279 | -0.375797 | 0.328969 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | 1.557811 | 1.557811 | 1.391613 | 0.412386 | -0.630301 | -1.091882 | -0.592157 | -0.201410 | -0.659792 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.464775 | 0.389472 | -0.569858 | 0.515719 | 0.467461 | -0.705621 | -0.055815 | 0.093470 | 2.464775 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Power | 0.730811 | -0.244418 | -0.180924 | 0.730811 | 0.542621 | -0.306425 | -0.779625 | 0.261698 | -0.156372 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 3.347086 | -0.179704 | 0.351964 | 0.240859 | 0.204972 | -0.384923 | -0.807943 | 3.347086 | 0.640909 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | 1.631253 | 1.307372 | 1.631253 | -0.677659 | 0.624245 | -0.142507 | -0.683746 | -0.340084 | 0.089036 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 3.188211 | -0.769928 | -0.106164 | 0.302571 | 0.516430 | 0.320029 | -0.342086 | 3.188211 | 0.189408 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 6.416193 | 2.028695 | 0.043539 | 0.528685 | 0.713378 | -0.346147 | -0.097261 | 4.594362 | 6.416193 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Discontinuties | 6.902170 | 0.723198 | -0.270494 | 0.741403 | 0.534845 | 0.522696 | 0.585891 | 6.902170 | 6.120552 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 11.619983 | -0.484856 | 0.800123 | 0.806562 | 0.702544 | 0.816874 | -0.394358 | 11.619983 | 7.250409 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 3.481399 | 0.332493 | 0.099342 | 0.676141 | 0.736541 | 0.465386 | 0.825354 | 0.991428 | 3.481399 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Variability | 8.995574 | 0.097516 | -0.537142 | 0.909969 | 0.897305 | 8.995574 | 8.858249 | 3.137630 | 3.435765 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Discontinuties | 17.476809 | -0.496070 | 0.695578 | 0.451616 | 0.609063 | 6.699531 | 7.588786 | 13.178538 | 17.476809 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 3.466225 | 1.011335 | -0.011050 | 0.995851 | 0.837314 | 2.908148 | 1.000728 | 2.833596 | 3.466225 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.990175 | 0.083759 | 0.552005 | 0.730915 | 0.789203 | 0.325951 | 0.023437 | 2.990175 | 2.551375 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Variability | 1.663572 | 1.040737 | -0.152769 | 0.651829 | 0.902073 | 1.663572 | 1.559360 | 0.760157 | 0.598644 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Variability | 1.620450 | 0.137868 | 1.206392 | 0.678740 | 0.782290 | 1.620450 | -0.095653 | 0.915129 | 0.773846 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 4.187629 | 0.494699 | 1.720157 | 0.722515 | 0.565219 | 0.754031 | 0.709956 | 4.187629 | 3.274000 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Temporal Variability | 2.427293 | 0.377059 | -0.408655 | 0.984189 | 0.698874 | 2.427293 | 2.187376 | 0.273959 | 0.629549 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | ee Temporal Discontinuties | 2.463632 | 1.149227 | 0.098425 | 0.680574 | 0.563917 | 0.749757 | 0.935486 | 1.871267 | 2.463632 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 17 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |